1 citations · 1 across the 4 of their papers we have counts for
4 papers
Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics
Haonan Zhu, Mary Silva, Jose Cadena +7
Recent technological advances have introduced new high-throughput methods for studying host-virus interactions, but testing synergistic interactions between host gene pairs during…
Hybrid Information-driven Multi-agent Reinforcement Learning
William A. Dawson, Ruben Glatt, Edward Rusu +2
Information theoretic sensor management approaches are an ideal solution to state estimation problems when considering the optimal control of multi-agent systems, however they are…
Nonstationary Multivariate Gaussian Processes for Electronic Health Records
Rui Meng, Braden Soper, Herbert Lee +3
We propose multivariate nonstationary Gaussian processes for jointly modeling multiple clinical variables, where the key parameters, length-scales, standard deviations and the corr…
Regularized Sparse Gaussian Processes
Rui Meng, Herbert Lee, Soper Braden +1
Gaussian processes are a flexible Bayesian nonparametric modelling approach that has been widely applied but poses computational challenges. To address the poor scaling of exact in…